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• W2156004887 abstract "Conventional metrics used to quantify signals in noise/hearing research rely primarily on time-averaged energy and spectral analyses. Such metrics, while appropriate for Gaussian-distributed waveforms, are of limited value in the more complex sound environments encountered in industrial/military settings that have nonGaussian and nonstationary-distributed waveforms. Research has shown that metrics incorporating the temporal characteristics of a waveform are needed to evaluate hazardous acoustic environments for purposes of hearing conservation. The joint peak-interval histogram is a prospective candidate for use in such an application. This paper shows that the joint peak-interval histogram can be obtained from an estimation of the temporal pattern of a complex noise waveform by using higher-order cumulant-based inverse filtering." @default.
• W2156004887 created "2016-06-24" @default.
• W2156004887 creator A5009575056 @default.
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• W2156004887 date "2002-11-27" @default.
• W2156004887 modified "2023-10-14" @default.
• W2156004887 title "Construction of a joint peak-interval histogram using higher-order cumulant-based inverse filtering" @default.
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• W2156004887 doi "https://doi.org/10.1109/icassp.1998.679664" @default.
• W2156004887 hasPublicationYear "2002" @default.
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